redhorsecorp - AI/ML Solutions Architect
Requirements
• On day one we'll expect... • Active Secret security clearance is required. • 10+ years of experience in technical leadership, software engineering, or data architecture, with a focus on AI/ML systems. • Expertise in Databricks: Proven ability to architect and oversee complex data and ML workflows within the Databricks environment. • Technical Orchestration: Proven ability to lead through influence, driving consensus and technical excellence across teams. • Strategic Decision Making: A track record of making high-stakes tradeoff decisions that balance technical excellence with mission timelines. • Consultative Communication: Exceptional ability to communicate technical constraints, risks, and opportunities to both technical teams and high-level government stakeholders. • Advana/WDP BLADE Experience: Familiarity with the CDAO’s War Data Platform (WDP) technology stack, formerly known as Advana, and/or the BLADE environment. • DoD Mission Context: Background in military logistics, CBM+, or Department of Defense sustainment operations. • Advanced Degree: Master’s or PhD in Computer Science, AI/ML, or a related quantitative field. • The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
Responsibilities
• Shape Strategic Direction: Define the technical architecture and execution guidance for AI/ML initiatives across USAF and Army programs. • Orchestrate Execution: Manage cross-team dependencies and align specialized engineering teams across a matrixed organization to ensure cohesive delivery. • Bridge the Gap: Act as the primary translator between high-level mission goals and engineering reality. • Reduce Ambiguity: Make sound tradeoff decisions in complex environments to keep projects moving from concept to operations. • Lead & Mentor: Develop the next generation of technical leaders and improve decision quality across the team. • Ensure Operational Impact: Connect technical output directly to mission outcomes, specifically optimizing fleet maintenance and asset availability.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT